AI Enterprise Architect_Sr Manager

Sigma Allied Services; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Sigma Allied Services in Bengaluru seeks an AI Architect Senior Manager to lead GenAI strategy and architecture for strategic clients. You will shape end-to-end AI solutions across cloud and non-cloud platforms, balancing innovation with governance and risk management.

The role requires 14–20 years of experience in strategy consulting and deep expertise in LLM workflows, AI governance, MLOps, and enterprise IT architecture.

Qualifications

• MBA from a tier 1 institute preferred.
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Skills

GenAI Strategy

GenAI Architecture

LLM Architecture

Prompt Engineering

Workflow Automation

AI Governance

Responsible AI

MLOps

Data Supply Chain

Cloud / API-first / RAG

Leadership

Strategy Consulting

Stakeholder Communication

Education

MBA from tier 1 institute

Tools

Google Vertex AI / Gemini

Azure AI / Copilot

Claude

Amazon Bedrock

IBM Watson

DataRobot

Job description

AI Architect Senior Manager

Join our team in Technology Strategy & Transformation for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from AI and GenAI architecture.

Practice: Technology Strategy & Transformation, Global Network

Areas of Work: GenAI Strategy & Architecture

Level: Senior Manager

Location: Bangalore / Gurugram / Mumbai / Pune / Chennai / Kolkata / Hyderabad

Years of Experience: 14 to 20 years

Your Experience Counts!

• MBA from a tier 1 institute preferred.
• 7 10 years of Strategy Consulting experience at a consulting firm.
• 5+ years of experience in designing and building end-to-end Enterprise AI and GenAI strategic solutions using cloud and non-cloud platforms Google Vertex AI / Gemini, Azure AI / Copilot, Claude, Amazon Bedrock, IBM Watson, DataRobot, or equivalent.
• Excellent understanding of Traditional AI, Generative AI, Agentic AI, multi-agent orchestration, and Advanced Cognitive methods to derive insights and actions.
• Demonstrated ability to design agentic AI workflows, including LLM architecture, prompt engineering, workflow automation, and AI agent design for production environments.
• 5+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or AI & Data transformation, including value realisation and AI governance frameworks.
• Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks, including bias, explainability, and regulatory compliance.
• 5+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing AI strategy recommendations as well as developing POCs.
• Deep understanding of data supply chain and how it enables AI productionisation and scaled deployment.
• Mandatory knowledge of IT & Enterprise architecture concepts through practical experience Cloud, API-first, RAG, MCP, agent orchestration, MLOps, observability.
• Strong understanding in any of the following industries preferred: Financial Services, Retail, Consumer Goods, Telecom, Life Sciences, Transportation, Automotive/Industrial, or equivalent.
• Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential.

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